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<div class="header">
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<div class="title">Tensor Module</div>  </div>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<p>This module provides a Tensor class for storing arbitrarily indexed objects.</p>
<div class="fragment"><div class="line"><span class="preprocessor">#include &lt;Eigen/CXX11/Tensor&gt;</span></div>
</div><!-- fragment --><p>Much of the documentation can be found <a class="el" href="eigen_tensors.html">here</a>. </p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a>
Classes</h2></td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1Tensor.html">Eigen::Tensor&lt; Scalar_, NumIndices_, Options_, IndexType_ &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">The tensor class.  <a href="classEigen_1_1Tensor.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorAssign.html">TensorAssign</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">The tensor assignment class.  <a href="classTensorAssign.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1TensorAsyncDevice.html">Eigen::TensorAsyncDevice&lt; ExpressionType, DeviceType, DoneCallback &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Pseudo expression providing an operator = that will evaluate its argument asynchronously on the specified device. Currently only ThreadPoolDevice implements proper asynchronous execution, while the default and GPU devices just run the expression synchronously and call m_done() on completion..  <a href="classEigen_1_1TensorAsyncDevice.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1TensorBase.html">Eigen::TensorBase&lt; Derived, AccessLevel &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">The tensor base class.  <a href="classEigen_1_1TensorBase.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorBroadcasting.html">TensorBroadcasting</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tensor broadcasting class.  <a href="classTensorBroadcasting.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1TensorConcatenationOp.html">Eigen::TensorConcatenationOp&lt; Axis, LhsXprType, RhsXprType &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="classEigen_1_1Tensor.html" title="The tensor class.">Tensor</a> concatenation class.  <a href="classEigen_1_1TensorConcatenationOp.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorContraction.html">TensorContraction</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tensor contraction class.  <a href="classTensorContraction.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1TensorConversionOp.html">Eigen::TensorConversionOp&lt; TargetType, XprType &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="classEigen_1_1Tensor.html" title="The tensor class.">Tensor</a> conversion class. This class makes it possible to vectorize type casting operations when the number of scalars per packet in the source and the destination type differ.  <a href="classEigen_1_1TensorConversionOp.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorConvolution.html">TensorConvolution</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tensor convolution class.  <a href="classTensorConvolution.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1TensorCustomBinaryOp.html">Eigen::TensorCustomBinaryOp&lt; CustomBinaryFunc, LhsXprType, RhsXprType &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="classEigen_1_1Tensor.html" title="The tensor class.">Tensor</a> custom class.  <a href="classEigen_1_1TensorCustomBinaryOp.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1TensorCustomUnaryOp.html">Eigen::TensorCustomUnaryOp&lt; CustomUnaryFunc, XprType &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="classEigen_1_1Tensor.html" title="The tensor class.">Tensor</a> custom class.  <a href="classEigen_1_1TensorCustomUnaryOp.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1TensorDevice.html">Eigen::TensorDevice&lt; ExpressionType, DeviceType &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Pseudo expression providing an operator = that will evaluate its argument on the specified computing 'device' (GPU, thread pool, ...)  <a href="classEigen_1_1TensorDevice.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structEigen_1_1TensorEvaluator.html">Eigen::TensorEvaluator&lt; Derived, Device &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">A cost model used to limit the number of threads used for evaluating tensor expression.  <a href="structEigen_1_1TensorEvaluator.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorExecutor.html">TensorExecutor</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">The tensor executor class.  <a href="classTensorExecutor.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorExpr.html">TensorExpr</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tensor expression classes.  <a href="classTensorExpr.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorFFT.html">TensorFFT</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tensor FFT class.  <a href="classTensorFFT.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1TensorFixedSize.html">Eigen::TensorFixedSize&lt; Scalar_, Dimensions_, Options_, IndexType &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">The fixed sized version of the tensor class.  <a href="classEigen_1_1TensorFixedSize.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorForcedEval.html">TensorForcedEval</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tensor reshaping class.  <a href="classTensorForcedEval.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1TensorGeneratorOp.html">Eigen::TensorGeneratorOp&lt; Generator, XprType &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="classEigen_1_1Tensor.html" title="The tensor class.">Tensor</a> generator class.  <a href="classEigen_1_1TensorGeneratorOp.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorImagePatch.html">TensorImagePatch</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Patch extraction specialized for image processing. This assumes that the input has a least 3 dimensions ordered as follow: 1st dimension: channels (of size d) 2nd dimension: rows (of size r) 3rd dimension: columns (of size c) There can be additional dimensions such as time (for video) or batch (for bulk processing after the first 3. Calling the image patch code with patch_rows and patch_cols is equivalent to calling the regular patch extraction code with parameters d, patch_rows, patch_cols, and 1 for all the additional dimensions.  <a href="classTensorImagePatch.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorIndexPair.html">TensorIndexPair</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tensor + Index Pair class.  <a href="classTensorIndexPair.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorInflation.html">TensorInflation</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tensor inflation class.  <a href="classTensorInflation.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorInitializer.html">TensorInitializer</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Helper template to initialize Tensors from std::initializer_lists.  <a href="classTensorInitializer.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorKChippingReshaping.html">TensorKChippingReshaping</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">A chip is a thin slice, corresponding to a column or a row in a 2-d tensor.  <a href="classTensorKChippingReshaping.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorLayoutSwap.html">TensorLayoutSwap</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Swap the layout from col-major to row-major, or row-major to col-major, and invert the order of the dimensions.  <a href="classTensorLayoutSwap.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1TensorMap.html">Eigen::TensorMap&lt; PlainObjectType, Options_, MakePointer_ &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">A tensor expression mapping an existing array of data.  <a href="classEigen_1_1TensorMap.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorPadding.html">TensorPadding</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tensor padding class. At the moment only padding with a constant value is supported.  <a href="classTensorPadding.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorPairIndex.html">TensorPairIndex</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Converts to Tensor&lt;Pair&lt;Index, Scalar&gt; &gt; and reduces to Tensor&lt;Index&gt;.  <a href="classTensorPairIndex.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorPatch.html">TensorPatch</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tensor patch class.  <a href="classTensorPatch.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorReduction.html">TensorReduction</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tensor reduction class.  <a href="classTensorReduction.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEigen_1_1TensorRef.html">Eigen::TensorRef&lt; PlainObjectType &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">A reference to a tensor expression The expression will be evaluated lazily (as much as possible).  <a href="classEigen_1_1TensorRef.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorReshaping.html">TensorReshaping</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tensor reshaping class.  <a href="classTensorReshaping.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorReverse.html">TensorReverse</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tensor reverse elements class.  <a href="classTensorReverse.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorScan.html">TensorScan</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tensor scan class.  <a href="classTensorScan.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorShuffling.html">TensorShuffling</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tensor shuffling class.  <a href="classTensorShuffling.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classTensorSlicing.html">TensorSlicing</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tensor slicing class.  <a href="classTensorSlicing.html#details">More...</a><br /></td></tr>
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<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tensor striding class.  <a href="classTensorStriding.html#details">More...</a><br /></td></tr>
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<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Patch extraction specialized for processing of volumetric data. This assumes that the input has a least 4 dimensions ordered as follows:  <a href="classTensorVolumePatch.html#details">More...</a><br /></td></tr>
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